Your browser is ancient!
Upgrade to a different browser to experience this site.

Ratings and Reviews for Introduction to Data Science in Python

Back to course Page

Reviews and Ratings

4.5

23,517 Ratings from Coursera

Reviews

Very engaging.
Really hard stuff, the student has to research a lot on his side, but it was an worth effort!
Very informative and hands on course. I loved the coding assignment. It helped a ton with learning and were the most important part
very fast paced, but very useful
The course is very good to get started with Python essential for M
Waste of time. If you know python, you'll probably learn nothing new here. If you don't, the professor goes into WAY too high a level, and quickly, for you to actually learn anything. Moreover, he barely touches on why any of this is important, does not go over scikitlearn or numpy, both very important in data science / machine learning.
Perfect course...
Very nice course. Not really for beginners since you have to struggle yourself sometimes to get to the goal. The Stuff are very active and helpful in the forums. Thanks for that!
This is not an organized course by any means. The lectures do not cover much and assignments are incredibly tough to the point that each requires more than a week by themselves. For context, I have completed the Python Specialization by Dr.Chuck (Which was incredible!) and have an Fulltime-Masters in Engineering. One of my main motivation for taking this course is to learn all the topics in well structured manner but I don't understand what Dr. Brooks trying to do with his bizarre way of 'teaching'. Unfortunately, Dr. Brooks just points to StackOverFlow for everything rather than explaining the concepts by himself. Currently, I am just learning through various Pandas Lectures in youtube and attempting the assignment (which is harder than most assignments I have completed in my college!!). Unless you have great motivation to learn by yourself, this course would be very hard to complete.
Solid introduction to using Python for basic data science applications. By the end of the course I feel confident that I know how to go about cleaning data and doing some basic analysis on it. The practical programming assignments are great, you can really dig your teeth into them without them being so challenging that it scares you off. Expect it to take you longer to complete the assignments than the official estimated time. What's also great is that all the code from the lectures is posted so you can easily play with it to be able to follow along with the lectures.

Michigan Online
For You

Sign up for a Michigan Online account to customize your experience!